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Moaz Hiba
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A review on the applications of nuclear magnetic resonance (NMR) in the oil and gas industry: laboratory and field-scale measurements
M Elsayed, A Isah, M Hiba, A Hassan, K Al-Garadi, M Mahmoud, ...
Journal of Petroleum Exploration and Production Technology 12 (10), 2747-2784, 2022
692022
A comprehensive review of proppant transport in fractured reservoirs: Experimental, numerical, and field aspects
A Isah, M Hiba, K Al-Azani, MS Aljawad, M Mahmoud
Journal of Natural Gas Science and Engineering 88, 103832, 2021
662021
A critical review of capacitance-resistance models
A Alghamdi, M Hiba, M Aly, A Awotunde
SPE Russian Petroleum Technology Conference?, D012S004R003, 2021
62021
Prediction of cohesion and friction angle from well-logging data using decision tree and random forest
M Hiba, AF Ibrahim, S Elkatatny, A Ali
Arabian Journal of Geosciences 15 (1), 26, 2022
52022
Real-time prediction of tensile and uniaxial compressive strength from artificial intelligence-based correlations
M Hiba, AF Ibrahim, S Elkatatny
Arabian Journal of Geosciences 15 (19), 1546, 2022
32022
Application of machine learning to predict the failure parameters from conventional well logs
M Hiba, AF Ibrahim, S Elkatatny, A Ali
Arabian Journal for Science and Engineering 47 (9), 11709-11719, 2022
32022
Estimation of tensile and uniaxial compressive strength of carbonate rocks from well-logging data: artificial intelligence approach
AF Ibrahim, M Hiba, S Elkatatny, A Ali
Journal of Petroleum Exploration and Production Technology 14 (1), 317-329, 2024
12024
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Articles 1–7